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cs.AI2026
Sparse Personalized Text Generation with Multi-Trajectory Reasoning
Bo Ni, Haowei Fu, Qinwen Ge +10
As Large Language Models (LLMs) advance, personalization has become a key mechanism for tailoring outputs to individual user needs. However, most existing methods rely heavily on d…
cs.AI2026★ 2 cited
DIANOIA: Diagnostic Decomposition and Joint Optimization for Multi-Agent Reasoning
Yiming Yang, Zhuoyuan Li, Fanxiang Zeng +2
Multi-agent LLM systems consistently outperform single-agent baselines, yet practitioners still cannot predict which design works for a new task or diagnose why one fails. We argue…